Determine whether each of the following situations describes a positive correlation, a negative correlation, orno correlation.Adolescents who spend more time on sedentary activities tend to have largerwaistlines than those who spend less time on sedentary activities.The amount of time college students spend on Instagram is unrelated to their highschool grade point average.Among adults, lower sodium intake is associated with lower body mass index.A 1 degree Celsius increase in average temperature between February and Aprileads apple trees to blossom nearly five days earlier.positive correlationno correlationChoose...negative correlation

It is required to identify the type of correlation between each pair of variables.

Answered: Determine whether each of the following…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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please answer blank questions only and or ones with a red x next to them.
The following graph plots data for tax per gallon and internal miles.Carefully explain what the graph is about, and what it captures. What are the limitations of the correlation and what can a researcher do toovercome these?
Data from a certain city shows that individuals with more pets tend to have lower blood pressure (BP). From this information alone, we can say that pet ownership and BP are negatively (inversely) correlated. This may or may not be a causal relationship. pet ownership and BP are not related. pet ownership causes BP to be lower. pet ownership and BP are positively related. This may or may not be a causal relationship. 000
A hospital found that a lower outside temperature indicates a higher number of patient visits. What can we determine from this information? There is no correlation between outside temperature and number of patient visits. There is a correlation between outside temperature and number of patient visits. However, there is no causation. This is because there is an increase in the number of patient visits with a decrease in the temperature outside. There is a correlation between outside temperature and number of patient visits. There may or may not be causation. Further studies would have to be done to determine this.
For a data set of weights (pounds) and highway fuel consumption amounts (mpg) of twelve types of automobile, the linear correlation coefficient is found and the P-value is 0.009. Write a statement that interprets the P-value and includes a conclusion about linear correlation.
Explain what correlation is and why two variables might be described as having a negative correlation. Age and education: A survey of U.S. adults showed that there is a negative correlation between age and education level. Does this mean that people become less educated as they become older? why or why not?
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Interpret this correlation coefficient. What does this mean for the relationship between age and field goal percentage? Do players seem to make more shots or fewer shots as they get older? Was the claim that older players are more accurate correct? why or why not?
An economist wants to determine whether there is a linear relationship between a country's gross domestic product (GDP) and carbon dioxide emissions. The data are shown in the table below. c. Compute and interpret the correlation coefficient. d. Compute and interpret the coefficient of determination. e. Test for the significance of the linear relationship. Use a 0.05 level of significance. State your conclusion. Hint: Your conclusion is either of the following. • There is a significant linear relationship between a country's gross domestic product (GDP) and carbon dioxide emissions. • There is no significant linear relationship between a country's gross domestic product (GDP) and carbon dioxide emissions. GDP 1.6 3.6 4.9 1.1 0.9 2.9 2.7 2.3 1.6 1.5 (trillion dollars) Carbon Dioxide Emissions 428.2 828.8 1214.2 444.6 264 415.3 571.8 454.9 358.7 573.5 (millions of metric tons)
What does the sign and actual number tell you in a correlation?
According to multiple research, there is a -0.697 correlation between happiness and loneliness. This means that _________. a. People who are happier tend to be less lonely. b. People who are happier tend to be more lonely. c. There is no link between happiness and loneliness. d. There is a causal relationship between happiness and loneliness.
An LCBO employee compares the relationship between the price of 6 different vintage bottles of wine, and the number of those bottles that have been purchased in the last 3 months to see if there is a correlation between the number of bottles purchased and the price of the bottle. Number of Bottles of Wine Purchased in the Price of Wine Bottle ($) Last 3 Months 44 18 93 65 82 56 25 60 15 30 20 40

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